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71.
公开(公告)号:US20240154686A1
公开(公告)日:2024-05-09
申请号:US18453525
申请日:2023-08-22
Inventor: Junil CHOI , Hyesang CHO , Beomsoo KO
IPC: H04B7/155
CPC classification number: H04B7/15514 , H04B7/15592
Abstract: Disclosed is a coverage extension method and apparatus in a terahertz (THz) region using cooperative communication. A coverage extension method in a THz region using cooperative communication performed by a computer device includes setting, by an access point (AP) in a downlink system that supports a plurality of user equipments (UEs), a UE that requires assistance due to a blocked line-of-sight (LoS) link as a destination UE and setting a remaining UE as a medium UE among the plurality of UEs; transmitting, by the AP, data to the medium UE; and cooperatively transmitting, by the medium UE, data to the destination UE.
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公开(公告)号:US20240140213A1
公开(公告)日:2024-05-02
申请号:US18280996
申请日:2022-03-08
Inventor: Dong Ho CHO
CPC classification number: B60L53/12 , B60L53/30 , H02J7/0042 , H02J50/005 , H02J50/10 , H02J50/402 , H02J50/90
Abstract: The present invention relates to a static and dynamic power supply and pick-up system on an electrified roadway, and more particularly, to a wireless power supply and pick-up systems for buses, trucks, passenger cars, etc. on electrified roads and to a static and dynamic charging electrified roadway power supply and pick-up method for wireless power supply and pick-up systems for transportation systems at airports, ports, campuses, etc.
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公开(公告)号:US11974069B2
公开(公告)日:2024-04-30
申请号:US16960088
申请日:2018-12-12
Inventor: Mun Churl Kim , Yong Woo Kim , Jae Seok Choi
IPC: H04N7/01 , G06N3/08 , G06T1/20 , G06T3/4007 , G06T3/4046 , G06T3/4053 , H04N19/124 , G06N3/04
CPC classification number: H04N7/0117 , G06N3/08 , G06T1/20 , G06T3/4007 , G06T3/4046 , G06T3/4053 , H04N19/124 , G06N3/04
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.
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公开(公告)号:US11973695B2
公开(公告)日:2024-04-30
申请号:US18056785
申请日:2022-11-18
Inventor: Chunghan Lee , Jinwoo Park , Byoungkwon Choi , Dongsu Han
CPC classification number: H04L47/805 , H04L47/823 , H04L47/83
Abstract: An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.
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公开(公告)号:US11972510B2
公开(公告)日:2024-04-30
申请号:US17251065
申请日:2019-06-10
Inventor: Jongha Lee , Hyeongseok Kim , Seungryong Cho , Namuk Kim , Jonghwan Min
IPC: G06T11/00
CPC classification number: G06T11/005 , G06T11/006 , G06T2210/41 , G06T2211/421
Abstract: An embodiment of the present disclosure provides a method of generating a tomography image and an X-ray imaging apparatus operating according to the method, whereby when a material with a high X-ray attenuation rate is inserted into an object, an image quality may be improved by reducing ripple artifacts and/or undershoot artifacts that may occur in a tomography image that is a captured X-ray image of the object.
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76.
公开(公告)号:US20240136445A1
公开(公告)日:2024-04-25
申请号:US18364240
申请日:2023-08-01
Inventor: Yang Kyu CHOI , Ji Man YU , Seong-Yeon KIM
IPC: H01L29/792 , G11C16/04 , H01L21/28 , H01L29/423 , H01L29/51 , H01L29/66
CPC classification number: H01L29/792 , G11C16/0466 , H01L29/40117 , H01L29/42348 , H01L29/513 , H01L29/518 , H01L29/66833
Abstract: A synapse device, a manufacturing method thereof, and a neuromorphic device including the synapse device are disclosed. The synapse device may include a channel member, a tunnel insulating layer disposed on the channel member, a charge trap layer disposed on the tunnel insulating layer, a blocking insulating layer disposed on the charge trap layer, a gate electrode disposed on the blocking insulating layer, a first terminal and a second terminal respectively connected to first and second regions of the channel member, and first and second conductors respectively bonded to the first and second terminals The charge trap layer may have a multilayer structure including a first trap layer disposed adjacent to the channel member and a second trap layer disposed adjacent to the gate electrode. The first trap layer may have a trap of a shallower level than that of the second trap layer.
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77.
公开(公告)号:US20240135168A1
公开(公告)日:2024-04-25
申请号:US18091877
申请日:2022-12-30
Inventor: You Sung JUNG , Geun Ho GU , Ju Hwan NOH , Ji Don JANG
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: Provided is a method for predicting perovskite synthesizability using a graph convolutional neural network and positive unlabeled learning, capable of predicting perovskite synthesizability by using a graph convolutional neutral network and positive unlabeled learning which is semi-supervised learning based on a labeled model using positive data and positive unlabeled data.
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公开(公告)号:US20240132625A1
公开(公告)日:2024-04-25
申请号:US18357665
申请日:2023-07-23
Inventor: Byung-Ha OH , Bo-Seong JEONG , Seong-Woo KIM , Seong-Bin IM , Jinyeop SONG
CPC classification number: C07K16/46 , C07K14/47 , C07K14/522 , C07K2317/24 , C07K2317/52 , C07K2317/54
Abstract: The present invention relates to a conjugate in which a polypeptide capable of forming a dimer is fused to the C-terminus of the heavy chain or light chain of an antibody or fragment thereof, a composition for increasing antigen-binding avidity of an antibody in proportion to the density of a target antigen, and a method for increasing antigen-binding avidity using the same. The present invention also relates to the treatment or diagnosis of diseases using the conjugate.
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公开(公告)号:US11968472B2
公开(公告)日:2024-04-23
申请号:US16960907
申请日:2018-12-12
Inventor: Mun Churl Kim , Yong Woo Kim , Jae Seok Choi
IPC: H04N7/01 , G06N3/04 , G06N3/08 , G06T1/20 , G06T3/40 , G06T3/4007 , G06T3/4046 , G06T3/4053 , H04N19/124
CPC classification number: H04N7/0117 , G06N3/08 , G06T1/20 , G06T3/4007 , G06T3/4046 , G06T3/4053 , H04N19/124 , G06N3/04
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; at least one first line buffer for outputting the image into a line-wise image line; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the output from the first line buffer; and a feature map processor for storing the output from the first convolution operator in units of at least one line, and processing so as to output the feature map stored in units of at least one line into a two-dimensional form, wherein at least one convolution operation operates in the form of a pipeline.
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80.
公开(公告)号:US11960804B2
公开(公告)日:2024-04-16
申请号:US16959942
申请日:2018-01-19
Inventor: Jung-Wuk Hong , Seong Eun Oh , Sang Eon Lee , Suyeong Jin
CPC classification number: G06F30/23 , G06F17/16 , G06F9/3836
Abstract: A peridynamic method having an added mirroring node according to embodiments of the present invention includes: a first step of calculating a shape tensor of a first node; a second step of calculating force state vectors of the first node and each of a plurality of second nodes by using the shape tensor; and a third step of calculating a peridynamic motion equation of the first node by using the force state vectors. The first node is a node located on a boundary of a structure and has a predetermined size horizon region, the plurality of second nodes is nodes in the horizon region, the plurality of second nodes includes one or more third nodes, and the third node is a second node having no node at a point which is origin-symmetrical based on the first node among the plurality of second nodes. In the first step, the shape tensor is calculated by using a position value in which the third node is origin-symmetrical based on the first node.
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